The Impact of Social Capital on the Knowledge Sharing Behavior Among the Community Members of a Social Network Knowledge Platform

Lin, Chyuan-Yuh; Chen, You-Shyang; Lo, Yu-Wen

doi:10.1007/978-94-017-9558-6_22

Cited by 2 publications

(3 citation statements)

References 7 publications

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“…Prosak defines knowledge management as an attempt to disclose assets that are hidden in the minds of organizational members and to turn the hidden asset to an organizational asset that can be accessed by all of the organization's employees. Petrisch believes that knowledge management is the process of acquisition of accurate knowledge by appropriate people at the right time and place so that they can make the best of knowledge to attain organizational goals (Lin et al, 2015).…”

Section: Meaning Of Knowledge Managementmentioning

confidence: 99%

“…1 shows the evolution of balanced scorecard (Jafari et al, 2009). Lin et al (2015) performed an analysis on the role of knowledge social centers in sharing committee members of social knowledge networks by collecting some information from Yahoo social networks. The objective of this research was to help understand and identify the key factors in sharing social knowledge networks and to present a framework for effective sharing of a mechanism for adding to usefulness of social networks.…”

Section: Knowledge Management Evaluation Modelsmentioning

confidence: 99%

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Knowledge management assessment in Petrochemical industries

Ammar¹,

Rezai²,

Ghorbanian³

2017

10.5267/j.dsl

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Knowledge management strategies are considered as the foundation of learning organizations.One of the problems of Iranian organizations is the assessment of knowledge management processes. The purpose of the present study is to present an applied organized model for the assessment of knowledge management performance in six dimensions, i.e., the financial dimension, stakeholders, local processes, growth and learning, employee satisfaction, and environment and community; identifying and investigating the correlation among the criteria; mapping network relations; weighing the indices using DEMATEL Technique; ranking assessment dimensions of knowledge management using ORESTE Technique; drawing strategic map; and designing Balanced Scorecard for improved performance of knowledge management. The population and sample of the study included 25 petrochemical Tehran managers and senior experts in information technology section. The results of this study provides a comprehensive view for the decision makers of Iran Petrochemical Industries for an improved performance in knowledge management.Science Ltd. All rights reserved. Growing 7 © 201

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Section: Meaning Of Knowledge Managementmentioning

confidence: 99%

Section: Knowledge Management Evaluation Modelsmentioning

confidence: 99%

Knowledge management assessment in Petrochemical industries

Ammar¹,

Rezai²,

Ghorbanian³

2017

10.5267/j.dsl

View full text Add to dashboard Cite

show abstract

“…The advantage of crowdsourcing innovation lies in "The crowd", gathering the wisdom of multiple participants, realizing diversified integration of knowledge, so as to solve a problem or obtain high-quality crowdsourcing solutions in a timely and effective manner. Interestingly, knowledge sharing is one of the most important motivations for the public to participate in the crowdsourcing community, which reflects one of the community's most important characteristics [5][6][7][8] (Hansen 2002;Lin et al 2015;Yao et al 2014;Chiu et al 2007). At present, the most common incentive is for the crowdsourcer to offer a monetary reward which is competitively positioned.…”

Section: Introductionmentioning

confidence: 99%

Impact of Crowdsourcee’s Vertical Fairness Concern on the Crowdsourcing Knowledge Sharing Behavior and Its Incentive Mechanism

et al. 2020

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This paper examine in detail the impact of the crowdsourcee's vertical fairness concern on the knowledge sharing incentive mechanism in crowdsourcing communities. The conditions for the establishment of the incentive mechanism is analyzed and he impact of fairness concern sensitivity on expected economic revenues of both sides as well as the crowdsourcing project performance is studied by game theory and computer simulation. The results show that the knowledge sharing incentive mechanism can only be established if the ratio between the performance improvement rate and the private cost reduction rate caused by shared knowledge is within a certain range. The degree of the optimal linear incentives, the private solution efforts, and the improvement of knowledge sharing level are positively correlated with the sensitivity of vertical fairness concern. In the non-incentive mode, the ratio between the performance conversion rate of private solution effort and the performance conversion rate of knowledge sharing effort plays an important role in moderating a crowdsourcing project's performance. We find that the number of participants is either conducive or non-conducive to the improvement of performance.

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The Impact of Social Capital on the Knowledge Sharing Behavior Among the Community Members of a Social Network Knowledge Platform

Cited by 2 publications

References 7 publications

Knowledge management assessment in Petrochemical industries

Knowledge management assessment in Petrochemical industries

Impact of Crowdsourcee’s Vertical Fairness Concern on the Crowdsourcing Knowledge Sharing Behavior and Its Incentive Mechanism

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